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Determining the Criteria for Setting Input Parameters of the Fuzzy Inference Model of P&R Car Parks Locating

  • Michał LowerEmail author
  • Anna Lower
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9875)

Abstract

The paper presents the fuzzy inference model of evaluation of P&R facilities location. In such a system there are car parks where travellers can change from car to public transport. Recognising proper locations of the P&R facilities is a key aspect for the system. On the basis of previous studies it was found that developing algorithms supporting the determination of input parameters to the model is necessary. The authors created recurrent algorithm for determining the parameter of the road quality. For the parameters of quantity of public transport means and the distance to the city centre the algorithm based on the exponential function was made. For determining the parameter describing the connection to the main road the fuzzy inference model was built. Thanks to the developed methodology the model of P&R locating has become more universal and possible to use for a broader group of experts.

Keywords

Fuzzy logic inference Park and ride system P&R facilities P&R location 

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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  1. 1.Wroclaw University of Science and TechnologyWroclawPoland

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